iPhone18,1
Geekbench AI Score
4799
Single Precision Score
35605
Half Precision Score
48725
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 07:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
16560
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22098
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19660
318.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23622
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9187
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
142980
166.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
265344
311.0 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
17253
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25601
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
40699
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
57107
678.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8112
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101077
778.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167766
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22849
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245601
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
342329
441.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5109
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56871
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83848
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6283
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6285
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11294
194.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12309
212.7 IPS |
